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» Model Based Importance Analysis for Minimal Cut Sets
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ESANN
2004
15 years 3 months ago
Separability of analytic postnonlinear blind source separation with bounded sources
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Fabian J. Theis, Peter Gruber
ICASSP
2008
IEEE
15 years 8 months ago
French prominence: A probabilistic framework
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
Nicolas Obin, Xavier Rodet, Anne Lacheret-Dujour
RTCSA
2009
IEEE
15 years 8 months ago
Event-Based Location Dependent Data Services in Mobile WSNs
—Mobile sensors are widely deployed in Wireless Sensor Networks (WSNs) to satisfy emerging application requirements. Specifically, processing location dependent queries in mobile...
Liang Hong, Yafeng Wu, Sang Hyuk Son, Yansheng Lu
NLE
2011
14 years 4 months ago
Modeling reciprocity in social interactions with probabilistic latent space models
Reciprocity is a pervasive concept that plays an important role in governing people’s behavior, judgments, and thus their social interactions. In this paper we present an analys...
Roxana Girju, Michael J. Paul
BMCBI
2010
216views more  BMCBI 2010»
14 years 9 months ago
Bayesian Inference of the Number of Factors in Gene-Expression Analysis: Application to Human Virus Challenge Studies
Background: Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors f...
Bo Chen, Minhua Chen, John William Paisley, Aimee ...